Data Engineer

Ovii's Interpretation of the Role

Gradera seeks a Data Engineer to design, build, and maintain scalable data pipelines that feed digital‑twin platforms, real‑time operational systems, and AI/ML workloads. The role works closely with data architects, simulation engineers, and ML teams to deliver high‑quality, governed datasets for intelligent decision‑making.

Role Snapshot

• Design and maintain scalable data pipelines
• Build real‑time and batch ingestion with Kafka
• Implement data quality via Delta Live Tables
• Ensure governance with Unity Catalog
• Collaborate with ML and simulation engineers
• Optimize performance, reliability, and cost
• Support production systems and troubleshoot incidents
• Develop business data warehouse solutions using Terradata

Nice-to-Have Signals

• 7+ years hands‑on data engineering experience
• Delta Live Tables for declarative pipeline development
• Agile, cross‑functional team experience
• Familiarity with time‑series data patterns
• Operational state modeling for real‑time systems
• Physics‑informed ML feature engineering exposure
• Experience with digital‑twin or simulation pipelines
• Exposure to manufacturing, logistics, or transportation domains
• production‑grade data pipelines
• Delta Live Tables development
• agile cross‑functional collaboration
• Manufacturing
• Logistics
• Transportation

Work Setup

• Location: Hyderabad, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design, develop, and maintain scalable pipelines on Databricks using PySpark and Delta Lake
• Create real‑time and batch ingestion pipelines from operational systems via Apache Kafka
• Apply data transformations for digital‑twin platforms and operational analytics
• Integrate Kafka event streams with Databricks for live state updates
• Enforce data quality and validation with Delta Live Tables expectations
• Implement governance, lineage, and access control through Unity Catalog
• Optimize pipeline performance, reliability, and cost efficiency
• Collaborate with ML engineers to deliver feature‑engineered datasets
• Support production data systems with monitoring, troubleshooting, and incident resolution
• Build business‑intelligence data warehouse solutions using Terradata

Good Fit If You Have

• Enjoys building production‑grade data pipelines at scale
• Comfortable with real‑time event streaming and Kafka
• Familiar with time‑series data and operational modeling
• Thrives in agile, cross‑functional team environments
• Interest in digital‑twin or simulation platforms